Vignesh, S. and Che, Hang Seng and Selvaraj, Jeyraj and Tey, Kok Soon (2024) Need of voltage and capacity profile reconstruction in incremental capacity analysis for second life batteries from repurposer perspective. Journal of Energy Storage, 100 (A). p. 113453. ISSN 2352-152X, DOI https://doi.org/10.1016/j.est.2024.113453.
Full text not available from this repository.Abstract
Incremental Capacity Analysis (ICA) is a widely used non-destructive technique to predict State of Health (SoH) of Lithium-ion Battery (LiB). Till today, the SoH is judged on ICA magnitude of peaks and valleys for defining the health indicators. This research work provides the state-of-the art in voltage and capacity profile reconstruction available for ICA through Constant Capacity (CC), Constant Voltage (CV), and hybrid sampling. Here, hybrid sampling offers flexibility for the repurposer to define voltage bands for partial charge and discharge limits according to ICA peaks. This research work aims to address the scope of reducing time and efforts on partial charging and discharging tests conducted by the repurposers for SoH and Remaining useful Life (RuL) estimation of Second Life Battery (SLB). Nissan Leaf battery 2011 model taken from EV application is tested for health indicators catering insights on SoH and RuL by reconstructing the voltage and capacity profile. The necessity of a filter can be neglected as a part of ICA post-processing. The peaks and valleys from reconstructed profile is aiding the repurposer to define voltage limits for partial charging and discharging based on SoH. This led to reduction in testing time and efforts in the range of 16% to 83% during SLB characterization. The accuracy of this technique is validated by varying the sampling frequencies ranging from 0.1 Ah, 0.01 Ah and 0.001 Ah before proceeding with reconstruction. Sandia National Laboratories open source data is considered for verifying the proof of concept. Pearson correlation coefficient is deployed to differentiate strong and weak SLB based on sampled data. The actual data obtained from battery cycler fails to do the same and hence, the sampled data aids repurposer in reducing the charging and discharging time of SLB through narrowed voltage bands.
| Item Type: | Article |
|---|---|
| Funders: | UM Power Energy Dedicated Advanced Centre (UMPEDAC), Higher Institution Centre of Excellence (HICoE) Program Research Grant, UMPEDAC-2020 (MOHE HICOE-UMPEDAC), Ministry of Education, Malaysia, Japan International Cooperation Agency for AUN/SEED-Net on Collaboration Education Program UM CEP (1901), Japan ASEAN Collaborative Education Program (JACEP), University of Malaya (IF005-2021) ; (RU002-2021), Universiti Malaya (Impact of Electric Vehicle Charging on Electrical Power Grid, University of Malaya) (IIRG002C-2023) |
| Uncontrolled Keywords: | Incremental capacity analysis; State of health; Second life batteries; Voltage and capacity profile reconstruction; Hybrid sampling |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Computer System & Technology Institute of Advanced Studies Deputy Vice Chancellor (Research & Innovation) Office > UM Power Energy Dedicated Advanced Centre |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 14 Apr 2025 07:39 |
| Last Modified: | 14 Apr 2025 07:39 |
| URI: | http://eprints.um.edu.my/id/eprint/46583 |
Actions (login required)
 |
View Item |
